Continuing the Conversation on How Structural Racial and Ethnic Inequalities Affect AI Biases

Abstract

This paper is a deep dive into artificial intelligence (AI) biases that affect marginalized communities, from introducing current AI biases to looking at more structural issues, such as historical, ideological, practice and policy perspectives. Because of limited social science research in Artificial Intelligence, the structural discussion of racial and ethnic inequalities uses current STEM research to understand the broader issues facing AI development. The paper also provides some recommendations in addressing AI biases. Some of the recommendations purport the usual solutions, but also introduces fresh approaches to thinking about solutions to AI biases.